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Data, information, knowledge and wisdom (DIKW) are the best known, sequential, theoretical and conceptual stations of understanding of things for taking proper action to save more in assets while losing less in resources in the course of life, both for individuals and legal entities. They are also the most difficult issues that can be differentiated within a certain context by practitioners without studying and referring to pertinent academic researches. Even in the COBIT® 5 framework, it is not easy to distinguish these items.
Despite the fact that the Data Management Body of Knowledge (DMBOK) focuses on data, COBIT 5 seems to focus more on the information layer, rather than data and knowledge, by emphasizing the transition of data into information on the road linking to knowledge. Though information is emphasized as one of the 7 enablers of COBIT 5, knowledge management is considered under the Build, Acquire and Implement (BAI) domain as BAI08 Manage knowledge, a management process. It is possible to argue that the challenges of big data that raise the importance of converting an overwhelmingly huge, sophisticated, doubtful, changeable and intertwined volume of numbers, signs and semiotic reflections into meaningful context. This seems to be very reasonable for the purpose of filling gaps at the diverging paths between data management and knowledge management.
I willreally appreciate readers’ criticisms and comments over theoretical, technicaland practical aspects of this article.
Here aresome additional questions to be considered in discussions over the article:
Are thereany needs of stakeholders for wisdom and intelligence concepts to be included withinCOBIT?
Whichcomponents of COBIT can be examined to deduct business intelligence and corporategovernance wisdom?
What is theprospective path for COBIT in the course of innovation and knowledgeaccumulation?
What isposition of COBIT in combatting with challenges and risks of big-data, industry4.0 and digital divide?
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